Thin‐layer drying kinetics and mathematical modelling of osmotically pretreated vacuum dried green chilli

Abstract Background Chilli is highly perishable, often requiring drying to extend shelf life. This study assesses and compares the drying kinetics of osmotically pretreated green chilli under vacuum drying conditions while evaluating suitable mathematical models and calculating effective moisture diffusivity and activation energy. Results Sliced chilli samples were osmotically dehydrated (optimised: 40°C, 30 °Brix, 99.32 min) to 68.87% ± 0.6% moisture, then dried in a vacuum oven (50 kPa) at 50, 60, and 70°C. The drying process primarily occurred during the falling‐rate period, with significantly reduced temperatures resulting in shorter drying times (13 h at 50°C vs. 9 h at 70°C). The Page model provided the best fit for the drying curves, and the effective moisture diffusivity ranged from 3.92 × 10 −10 to 5.16 × 10 −10 m 2 /s. Activation energy was determined to be 12.57 kJ/mol. Conclusion Vacuum drying with osmotic pretreatment efficiently dehydrates green chilies and lowers the activation energy, thereby enhancing moisture removal. The Page model, diffusivity values, and insights into activation energy contribute to optimising drying processes. This method can significantly shorten drying times and preserve product quality, offering a promising industrial approach for chilli drying that may help minimise post‐harvest losses.

Authors

Institutions

Publication Details

Journal
JSFA reports
Published
2026-04-16
DOI
https://doi.org/10.1002/jsf2.70068
Primary Topic
Food Drying and Modeling
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Thin‐layer drying kinetics and mathematical modelling of osmotically pretreated vacuum dried green chilli

Md. Nahidul Islam, Md. Mojaffor Hosain, Md. Iftekhar Kabir, Md. Sazzat Hossain Sarker et al.
JSFA reports
Food Drying and Modeling
article

Thin‐layer drying kinetics and mathematical modelling of osmotically pretreated vacuum dried green chilli

Md. Nahidul Islam, Md. Mojaffor Hosain, Md. Iftekhar Kabir, Md. Sazzat Hossain Sarker, Md. Raihanul Haque
article en

Abstract

Abstract Background Chilli is highly perishable, often requiring drying to extend shelf life. This study assesses and compares the drying kinetics of osmotically pretreated green chilli under vacuum drying conditions while evaluating suitable mathematical models and calculating effective moisture diffusivity and activation energy. Results Sliced chilli samples were osmotically dehydrated (optimised: 40°C, 30 °Brix, 99.32 min) to 68.87% ± 0.6% moisture, then dried in a vacuum oven (50 kPa) at 50, 60, and 70°C. The drying process primarily occurred during the falling‐rate period, with significantly reduced temperatures resulting in shorter drying times (13 h at 50°C vs. 9 h at 70°C). The Page model provided the best fit for the drying curves, and the effective moisture diffusivity ranged from 3.92 × 10 −10 to 5.16 × 10 −10 m 2 /s. Activation energy was determined to be 12.57 kJ/mol. Conclusion Vacuum drying with osmotic pretreatment efficiently dehydrates green chilies and lowers the activation energy, thereby enhancing moisture removal. The Page model, diffusivity values, and insights into activation energy contribute to optimising drying processes. This method can significantly shorten drying times and preserve product quality, offering a promising industrial approach for chilli drying that may help minimise post‐harvest losses.

JSFA reports
Hajee Mohammad Danesh Science and Technology University (BD), Bangladesh Agricultural Research Institute (BD)
Openalex Percentile: Top 10%
Food Drying and Modeling
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.